Forward Deployed Engineer

Kindo is an agent automation platform purpose-built for DevOps and SecOps teams. We help organizations automate tedious, high-friction operational work—securely—using autonomous agents that can run in the background on schedules or triggers. We’re on-prem capable and built with enterprise security controls from day one.

We’re ~40 people, have strong customer traction, and are entering the next phase of growth where product clarity, focus, and execution velocity matter more than ever.

As a Forward Deployed Engineer at Kindo, you’ll use your deep technical expertise to collaborate with our most strategic customers to drive transformational AI adoption. You will collaborate closely with Kindo engineers to ship advanced, enterprise ready AI agents that solve real world business problems. 

You’ll work side-by-side with Product and Engineering to get deep into customer workflows and ship real solutions fast. Drawing on strong engineering instincts, hands-on experience with frontier AI, and comfort working directly with customers, you’ll turn messy, high-stakes business problems into reliable, production-ready systems—without compromising on safety or quality.

This is a foundational role as you would be FDE #1, helping to shape our forward-deployed future. This role is ideal for someone who’s excited to build, iterate, and grow alongside our customers.

• Embed closely with customer teams, understand their needs, and guide adoption of what you build.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Conduct regular health checks, usage reviews, and roadmap alignment sessions.
• Anticipate potential issues and coordinate with support, product, and engineering teams as needed.
• Partner with Sales to support renewals, expansions, and success planning.
• Capture and relay customer feedback to influence product direction.
• Contribute to playbooks, diagnostic tools, documentation, and enablement assets.

• 3+ years in a technical post-sales or customer-facing role (TAM, Solutions Architect, CSM with technical depth, etc.)
• Strong understanding of cloud infrastructure, SaaS, or DevSecOps environments.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications.
• Excellent communication skills - comfortable with both technical and executive audiences.
• Proactive mindset- you spot patterns, solve problems early, and take initiative.
• Collaborative nature- you know how to navigate cross-functional teams and build trust internally.

• Competitive equity package for early employees.
• Comprehensive health, dental, and vision insurance.
• Unlimited vacation and paid time off policies.
• Opportunity to work with world-class leadership in cybersecurity and AI.
• Fast-paced, entrepreneurial startup environment with a strong culture of ownership and innovation.

• High-performance mindset: We set ambitious goals and work with urgency.
• Extreme ownership: Everyone is responsible for their domain and takes pride in delivering results.
• Fast-paced and action-oriented: We prioritize speed and execution over perfection.
• Collaboration and innovation: We challenge each other, share insights, and push boundaries.
• Customer obsession: Everything we do is about making our customers successful.

Base salary in the $120K–$150K range + bonus + early employee equity with meaningful ownership in a high-growth AI startup.